Hit 400 Bad Request on POST /api/v2/analytics/segment-definitions when pushing a segment with nested AND/OR operators involving agent skill levels. The payload validates against the OpenAPI spec, but the platform rejects it citing invalid expression syntax. We are using the latest Python SDK v3.1.2. The segment works fine in the UI export, so the issue seems specific to the API ingestion layer for complex boolean trees.
The problem is likely that how the SDK serializes the nested boolean tree. The platform API expects a flat structure for complex segments, not a recursive object.
Try flattening the condition array in your payload. JMeter tests show the parser chokes on depth > 2. Use the conditions array with explicit operation flags instead of nested objects.
Make sure you validate the segment logic against the Performance dashboard metrics before committing to the API. The suggestion above regarding flattening the boolean tree is technically accurate for the ingestion layer, but it introduces a significant risk for operational visibility.
When complex boolean trees are flattened, the resulting segment definition often becomes opaque in the standard Queue Activity views. This obscures the true driver of agent performance, making it difficult to correlate specific skill-level thresholds with service level adherence. The platform API may accept the flat structure, but the downstream analytics might not render the nested logic correctly in the Agent Performance reports.
Consider this configuration structure for the flattened payload:
{
"conditions": [
{
"attribute": "agent_skill_level",
"operator": "equals",
"value": "senior"
},
{
"attribute": "queue_wait_time",
"operator": "less_than",
"value": 30,
"operation": "and"
}
]
}
While this format resolves the 400 Bad Request error, it often fails to capture the nuanced interdependencies of the original nested logic. The documentation suggests that segments with depth greater than two are prone to misinterpretation in the Conversation Detail views.
A safer approach is to simplify the segment logic within the Architect flow itself, rather than pushing the complexity to the API. This ensures that the metrics reported in the Performance views remain consistent with the actual routing behavior. Review the queue activity metrics after applying the flat structure to verify that the service level calculations are not skewed by the simplified logic.